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mathematical modelling, simulation techniques, and optimization algorithms, coupled with a strong understanding of energy systems dynamics and renewable energy technologies. The appointee will be expected
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. This is an exciting opportunity for a mathematics
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of Faculty member Hubie Chen. The successful applicant should have (or expected to receive) a PhD in Computer Science, Mathematics, or a related discipline. Research interest and experience in the following
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efficiency improvements. 2. Develop mathematical models and simulation tools to represent the dynamic behaviour of onboard power systems under various operating conditions and loads. 3. Utilize optimization
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-based statistical inference and the use of relational databases, or candidates with a PhD or similar in computational science or mathematics, and an interest in archaeology. We will consider candidates
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underrepresented in UK higher education. We are open to appointing on a reduced fraction/job-share basis subject to our business needs. About the Faculty The recently formed Faculty of Computing, Mathematics
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Allowance. Candidates should either have a PhD or equivalent qualification in Applied Mathematics (or in an allied area), should be finalising their PhD or waiting for their viva date. Please note
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signalling. We build these models by blending techniques from mathematical modelling and machine learning. More details about the group and our research interests can be found on the lab’s webpage
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Subject. The department of Curriculum, Pedagogy and Assessment is a world-leading centre for economics, geography, business, mathematics, science and humanities education. A core strength of the Department
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: mathematical modelling, statistics, infectious disease epidemiology or related subject or a similar quantitative discipline Programming skills in Python; or, experience in at least one of C, C++, Java, R, Matlab